CasellaJr

AGENT-BASED-MODEL-SIMULATION-OF-COVID-19-IN-NETLOGO

AGENT-BASED MODEL SIMULATION OF COVID-19 IN NETLOGO

Benchmarking-FedAvg-and-FedCurv-for-Image-Classification-Tasks

Code of the paper "Benchmarking FedAvg and FedCurv for Image Classification Tasks"

Benchmarking-Normalization-Layers-in-Federated-Learning-for-Image-Classification-Tasks-on-non-IID

Code used for the experiments of the paper "Benchmarking Normalization Layers in Federated Learning for Image Classification Tasks on non-IID scenarios"

CNN---A-Large-Scale-dataset-for-Fish-Classification

Jupyter Notebook for 1st homework of the KNowledge Discovery course at UniCT

Federated-Transfer-Learning-using-Network-Composition

My thesis of Master's degree in Data Science for Management @UniCT about Deep Learning, title "Federated Transfer Learning using Network Composition"

Forecasting-Blockchain-indicators-for-analyzing-BTC-future-price

Modeling-and-Analysis-for-Complex-Systems

Report and MATLAB code for the final exam of the course in Modeling and Analysis for Complex Systems, taught by Prof. G. Nunnari.

Multi-Input-Neural-Networks-in-Federated-Learning

Multi-Input Neural Networks in Federated Learning

streamflow-fl

Federated Learning with StreamFlow

CasellaJr/Benchmarking-FedAvg-and-FedCurv-for-Image-Classification-Tasks

Code of the paper "Benchmarking FedAvg and FedCurv for Image Classification Tasks"

CasellaJr/Modeling-and-Analysis-for-Complex-Systems

Report and MATLAB code for the final exam of the course in Modeling and Analysis for Complex Systems, taught by Prof. G. Nunnari.

CasellaJr/Multi-Input-Neural-Networks-in-Federated-Learning

Multi-Input Neural Networks in Federated Learning

CasellaJr/AGENT-BASED-MODEL-SIMULATION-OF-COVID-19-IN-NETLOGO

AGENT-BASED MODEL SIMULATION OF COVID-19 IN NETLOGO

CasellaJr/Benchmarking-Normalization-Layers-in-Federated-Learning-for-Image-Classification-Tasks-on-non-IID

Code used for the experiments of the paper "Benchmarking Normalization Layers in Federated Learning for Image Classification Tasks on non-IID scenarios"

CasellaJr/CNN---A-Large-Scale-dataset-for-Fish-Classification

Jupyter Notebook for 1st homework of the KNowledge Discovery course at UniCT

CasellaJr/Federated-Transfer-Learning-using-Network-Composition

My thesis of Master's degree in Data Science for Management @UniCT about Deep Learning, title "Federated Transfer Learning using Network Composition"

CasellaJr/streamflow-fl

Federated Learning with StreamFlow

CasellaJr/BarPizzeriaViaCaracciolo.github.io

Website for Via Caracciolo

CasellaJr/Forecasting-Blockchain-indicators-for-analyzing-BTC-future-price

CasellaJr/BooksGram

A Web Application in Laravel that uses Google Books Api, with the graphic of Instagram

CasellaJr/casellajr.github.io

Build a Jekyll blog in minutes, without touching the command line.

CasellaJr/cv

Curriculum Vitae

CasellaJr/DROCKS

CasellaJr/FedRec

Image Reconstruction an Effective Way for Optimizing Federated Learning

CasellaJr/FedSurvBoost

Extension for Open-FL extended for Survival Analysis problems

CasellaJr/HeartFailurePrediction

Create a model for predicting mortality caused by Heart Failure.

CasellaJr/knowledge-discovery-course

CasellaJr/lstm_stream

LSTM for stream flow prediction

CasellaJr/MultivariateStatAnalysis

CasellaJr/Music-Generation-with-LSTM---Pytorch

Music Generation with LSTM in Pytorch

CasellaJr/openfl

An open framework for Federated Learning.

CasellaJr/Power-Point-presentation-of-the-scientific-paper-Playing-Atari-with-Deep-Reinforcement-Learning-

Power Point presentation for the 3rd homework of the Knowledge Discovery course, 2021

CasellaJr/Problem-Set-3

CasellaJr/SGX-FL-OPENFL-GRAMINE-BENCHMARK-IMAGES

CasellaJr/wine_pytorch_deep_learning

CasellaJr/wine_report_data_analysis

Code and report for the exam of Data Analysis. 1st year of MS in Data Science for Management.

CasellaJr/wine_report_machine_learning

Report and Python code of a comparison of classifiers performed on the Wine dataset present in scikit-learn

CasellaJr/wine_report_statistical_learning

Report and code in R of statistical learning methods applied on the Wine dataset